MARC Record from marc_columbia

LEADER: 03404cam a22004818i 4500
001 14566490
005 20200210125836.0
008 191229s2020 nyua b 001 0 eng
010 $a 2019036724
035 $a(OCoLC)on1102325935
040 $aLBSOR/DLC$beng$erda$cDLC$dOCLCO$dIEB$dTCH
020 $a9780525559887$q(hardcover)
020 $a0525559884$q(hardcover)
020 $z9780525559894$q(epub)
035 $a(OCoLC)1102325935
041 1 $aeng$hfre
042 $apcc
050 00 $aBF318$b.D44 2020
082 00 $a153.1/5$223
049 $aZCUA
100 1 $aDehaene, Stanislas,$eauthor.
240 10 $aApprendre!$lEnglish
245 10 $aHow we learn :$bwhy brains learn better than any machine ... for now /$cStanislas Dehaene.
250 $aFirst American edition.
263 $a2001
264 1 $a[New York, New York] :$bViking,$c2020.
300 $axxviii, 319 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aBased in part on: Apprendre! : les talents du cerveau, le défi des machines.
504 $aIncludes bibliographical references and index.
505 0 $aSeven definitions of learning -- Why our brain learns better than current machines -- Babies' invisible knowledge -- The birth of a brain -- Nurture's share -- Recycle your brain -- Attention -- Active engagement -- Error feedback -- Consolidation -- Conclusion. Reconciling education with neuroscience.
520 $a"In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place in the brain. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood, and that we can enhance our learning and memory at any age. We can all 'learn to learn' by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. The exciting advancements in A.I. of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities as well as in everyday life"--$cProvided by publisher.
650 0 $aLearning, Psychology of.
650 0 $aCognitive psychology.
650 0 $aNeuroplasticity.
650 0 $aCognitive science.
650 7 $aSCIENCE / Life Sciences / Neuroscience.$2bisacsh
650 7 $aSCIENCE / Cognitive Science.$2bisacsh
650 7 $aEDUCATION / Learning Styles.$2bisacsh
776 08 $iOnline version:$aDehaene, Stanislas.$sApprendre! English.$tHow we learn.$d[New York, New York] : Viking, [2020]$z9780525559894$w(DLC) 2019036725
852 00 $bglx$hBF318$i.D44 2020